A powerful Python-based skill for AI agents to fetch real-time Google search results including titles, links, and summaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install google-search-web
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install google-search-web using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Google Search Web Skill?
The Google Search Web skill is a specialized tool designed for Openclaw Skills that enables AI agents to interact with the Google Search engine programmatically. By calling a dedicated web interface, it allows developers and automated agents to retrieve live information from across the web, bypassing the limitations of static training data. This skill is essential for building agents that require the most current news, technical documentation, or broad research capabilities.
It operates via a Python script that interfaces with a robust API, offering both a free tier for light daily use and a premium tier for high-frequency professional requirements. The skill ensures that search results are structured cleanly, providing a clear breakdown of titles, URLs, and meta-descriptions to be consumed by the agent or the end user.
Google Search Web Skill Use Cases
- Retrieving the latest news or real-time information on specific keywords
- Automated research and data gathering for specific topics or industries
- Batch fetching search results (titles, links, and snippets) for SEO or competitive analysis
- Programmatic access to Google Search API within Python environments for Openclaw Skills workflows
How Google Search Web Skill Works
- The AI agent or user provides a search query (q) and optionally an API key.
- The underlying Python script checks for authentication via environment variables or direct arguments.
- A POST request is sent to the specialized Coze JS API endpoint.
- The system processes the search and returns a JSON response containing the search status and results.
- The script parses the data and outputs a structured Markdown summary or raw JSON for the agent to use.
Google Search Web Skill Setup
To use this within your Openclaw Skills environment, ensure you have Python 3 installed and follow these steps:
# Method 1: Free Tier (Limited to once per day)
python3 scripts/google_search.py --q "Your search query"
# Method 2: Professional Tier using Environment Variables
export AZT_API_KEY="your_key_here"
python3 scripts/google_search.py --q "Advanced AI trends"
# Method 3: Direct Parameter passing
python3 scripts/google_search.py --q "Openclaw Skills" --azt_api_key your_key_here
Google Search Web Skill Data Schema & Taxonomy
The skill returns structured data to ensure compatibility with downstream tasks. Below is the metadata taxonomy:
| Field | Description |
|---|---|
| code | Status indicator (0 for success, -1 for failure) |
| q | The original search keyword processed |
| results | A list containing title, link, and summary for each search entry |
| credits | Information regarding remaining API balance or quota status |
| message | Detailed error description in case of failure |
Google Search Web Skill Advanced Features
- Multi-tier authentication: Supports seamless switching between free and paid API access via environment variables or CLI flags.
- Raw JSON Output: Use the
--jsonflag to receive raw data for complex multi-agent orchestration or data pipeline integration. - Error Diagnostics: Provides specific feedback on quota exhaustion, network issues, or invalid keys to facilitate automated error handling.
- Scalable API: Connects to a high-availability endpoint optimized for Openclaw Skills performance.
SKILL.md
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